Title
Polymorph: morphing among multiple images
Abstract
Polymorph extends conventional morphing to derive morphed images from more than two images at once, effectively integrating geometric manipulations and color blending. We present a general framework for polymorphing by extending the traditional image morphing paradigm that applies to two images. The authors formulate each input image as a vertex of an (n-1)-dimensional simplex, where n equals the number of input images. They look at the mathematical framework for polymorph, followed by warp function generation and propagation, blending function generation, and the implemented polymorph system. Metamorphosis examples demonstrate the use of polymorph for image composition
Year
DOI
Venue
1998
10.1109/38.637304
IEEE Computer Graphics and Applications
Keywords
Field
DocType
traditional image,image representation,vertex,multiple image morphing,morphed image,polymorph system,multiple images,computational geometry,image composition,color blending,warp function generation,input image,function generation,conventional morphing,general framework,blending function generation,polymorph,mathematical framework,geometric manipulations,image colour analysis,1 dimensional,polymorphism
Computer vision,Morphing,Vertex (geometry),Computer graphics (images),Computer science,Computational geometry,Image representation,Simplex,Artificial intelligence
Journal
Volume
Issue
ISSN
18
1
0272-1716
Citations 
PageRank 
References 
30
3.56
8
Authors
3
Name
Order
Citations
PageRank
Seungyong Lee12130157.29
George Wolberg2783100.30
Sung Yong Shin31904168.33